Alterations in resting-state gamma activity in patients with schizophrenia: a high-density EEG study

Baradits, Máté; Kakuszi, Brigitta; Bálint, Sára; Fullajtar, Mate; Mód, László; Bitter, István; Czobor, Pál

doi:10.1007/s00406-018-0889-z

Cited by 48 publications

(32 citation statements)

References 86 publications

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“…54 In addition, abnormalities in resting state gamma and beta frequencies are known as a representative trait marker of SCZ. [55][56][57] Increases in theta and delta frequencies and reduced beta and gamma frequencies in SCZ are consistently observed. 58 Reduced high-frequency alpha activity could stem from the fact that the bandwidth of high-frequency alpha is close to the beta and gamma frequencies.…”

Section: Discussionmentioning

confidence: 84%

Unsuccessful reduction of high‐frequency alpha activity during cognitive activation in schizophrenia

Jang

Jung

et al. 2019

Psychiatry Clin Neurosci

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Aims: Electroencephalogram (EEG) alpha activity during resting state reflects the 'readiness' of an individual to respond to the environment; this includes the performance of cognitive processes. Alpha activity is reported to be attenuated in schizophrenia (SCZ). Understanding the interaction between alpha activity during rest and when cognitively engaged may provide insights into the neural circuitry, which is dysfunctional in SCZ. This study investigated the changes of alpha activity between resting state and cognitive engagement in SCZ patients.Methods: Thirty-four SCZ patients and 29 healthy controls (HC) were recruited. EEG was performed in the resting state and during an auditory P300 task. All experimental procedures followed the relevant institutional guidelines and regulations.Results: In SCZ, high-frequency alpha activity was reduced in the resting state. High-frequency alpha source density was decreased in both the resting-state and a P300 task condition in patients, compared to HC. HC, but not SCZ patients, showed a reduction in high-frequency alpha source density during the P300 task compared to the resting state. The negative correlation between high-frequency alpha source density in the resting state and positive symptoms was significant.Conclusions: High-frequency alpha activity in SCZ patients and its unsuccessful reduction during cognitive processing may be biological markers of SCZ.

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Section: Discussionmentioning

confidence: 84%

Unsuccessful reduction of high‐frequency alpha activity during cognitive activation in schizophrenia

Jang

Jung

et al. 2019

Psychiatry Clin Neurosci

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“…A number of resting-state EEG studies have been conducted on patients with schizophrenia (vs. healthy controls) most often with eyes closed (although see Venables et al, 2009; Hanslmayr et al, 2013; Narayanan et al, 2014 for three eyes open studies). In total, 37 schizophrenia studies were identified for this review (Clementz et al, 1994; Sponheim et al, 1994; Wada et al, 1994; Omori et al, 1995; Pascual-Marqui et al, 1999; Begić et al, 2000; Harris et al, 2001; Knott et al, 2001a; Wuebben and Winterer, 2001; Mientus et al, 2002; Veiga et al, 2003; Kirino, 2004; Harris et al, 2006; Kirino, 2007; Knyazeva et al, 2008; Tislerova et al, 2008; John et al, 2009; Venables et al, 2009; Bandyopadhyaya et al, 2011; Begić et al, 2011; Itoh et al, 2011; Schug et al, 2011; Hong et al, 2012; Hanslmayr et al, 2013; Kam et al, 2013; Narayanan et al, 2014; Ranlund et al, 2014; Tikka et al, 2014; Andreou et al, 2015; Garakh et al, 2015; Goldstein et al, 2015; Kim et al, 2015; Mitra et al, 2015; Shreekantiah Umesh et al, 2016; Mitra et al, 2017; Moeini et al, 2017; Baradits et al, 2018). The median sample size was 63 (range 26–425), with the average age of participants being 31 years old.…”

Section: Resultsmentioning

confidence: 99%

EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies

Newson¹,

Thiagarajan²

2019

Front. Hum. Neurosci.

603

432

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A significant proportion of the electroencephalography (EEG) literature focuses on differences in historically pre-defined frequency bands in the power spectrum that are typically referred to as alpha, beta, gamma, theta and delta waves. Here, we review 184 EEG studies that report differences in frequency bands in the resting state condition (eyes open and closed) across a spectrum of psychiatric disorders including depression, attention deficit-hyperactivity disorder (ADHD), autism, addiction, bipolar disorder, anxiety, panic disorder, post-traumatic stress disorder (PTSD), obsessive compulsive disorder (OCD) and schizophrenia to determine patterns across disorders. Aggregating across all reported results we demonstrate that characteristic patterns of power change within specific frequency bands are not necessarily unique to any one disorder but show substantial overlap across disorders as well as variability within disorders. In particular, we show that the most dominant pattern of change, across several disorder types including ADHD, schizophrenia and OCD, is power increases across lower frequencies (delta and theta) and decreases across higher frequencies (alpha, beta and gamma). However, a considerable number of disorders, such as PTSD, addiction and autism show no dominant trend for spectral change in any direction. We report consistency and validation scores across the disorders and conditions showing that the dominant result across all disorders is typically only 2.2 times as likely to occur in the literature as alternate results, and typically with less than 250 study participants when summed across all studies reporting this result. Furthermore, the magnitudes of the results were infrequently reported and were typically small at between 20% and 30% and correlated weakly with symptom severity scores. Finally, we discuss the many methodological challenges and limitations relating to such frequency band analysis across the literature. These results caution any interpretation of results from studies that consider only one disorder in isolation, and for the overall potential of this approach for delivering valuable insights in the field of mental health.

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“…Notably, gamma-band power was not reported. While some studies showed increased resting-state gamma-band power in schizophrenia in eyes-closed condition (18)(19)(20), Grent-'t-Jong et al (21) found an increased gamma power (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46) at the occipital cortex and a decreased at the prefrontal cortex in first episode schizophrenia patients (N = 21) and showed a decreased MEG gamma power at the frontal, temporal, and sensorimotor cortices in chronic schizophrenia patients (N = 34) compared to healthy controls (N = 37).…”

Section: Introductionmentioning

confidence: 99%

Abnormal Spontaneous Gamma Power Is Associated With Verbal Learning and Memory Dysfunction in Schizophrenia

et al. 2020

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Background: Schizophrenia patients exhibit cognitive deficits across multiple domains, including verbal memory, working memory, and executive function, which substantially contribute to psychosocial disability. Gamma oscillations are associated with a wide range of cognitive operations, and are important for cortico-cortical transmission and the integration of information across neural networks. While previous reports have shown that schizophrenia patients have selective impairments in the ability to support gamma oscillations in response to 40-Hz auditory stimulation, it is unclear if patients show abnormalities in gamma power at rest, or whether resting-state activity in other frequency bands is associated with cognitive functioning in schizophrenia patients. Methods: Resting-state electroencephalogram (EEG) was assessed over 3 min in 145 healthy comparison subjects and 157 schizophrenia patients. Single-word reading ability was measured via the reading subtest of the Wide Range Achievement Test-3 (WRAT). Auditory attention and working memory were evaluated using Letter-Number Span and Letter-Number Sequencing. Executive function was assessed via perseverative responses on the Wisconsin Card Sorting Test (WCST). Verbal learning performance was measured using the California Verbal Learning Test second edition (CVLT-II). Results: Schizophrenia patients showed normal levels of delta-band power but abnormally elevated EEG power in theta, alpha, beta, and gamma bands. An exploratory correlation analysis showed a significant negative correlation of gammaband power and verbal learning performance in schizophrenia patients. Conclusions: Patients with schizophrenia have abnormal resting-state EEG power across multiple frequency bands; gamma-band abnormalities were selectively and

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Alterations in resting-state gamma activity in patients with schizophrenia: a high-density EEG study

Cited by 48 publications

References 86 publications

Unsuccessful reduction of high‐frequency alpha activity during cognitive activation in schizophrenia

Unsuccessful reduction of high‐frequency alpha activity during cognitive activation in schizophrenia

EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies

Abnormal Spontaneous Gamma Power Is Associated With Verbal Learning and Memory Dysfunction in Schizophrenia

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